本文整理汇总了Python中sklearn.model_selection.ShuffleSplit.get_n_splits方法的典型用法代码示例。如果您正苦于以下问题：Python ShuffleSplit.get_n_splits方法的具体用法？Python ShuffleSplit.get_n_splits怎么用？Python ShuffleSplit.get_n_splits使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类sklearn.model_selection.ShuffleSplit的用法示例。
在下文中一共展示了ShuffleSplit.get_n_splits方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: ShuffleSplit
# 需要导入模块: from sklearn.model_selection import ShuffleSplit [as 别名]
# 或者: from sklearn.model_selection.ShuffleSplit import get_n_splits [as 别名]
from sklearn.model_selection import ShuffleSplit
import numpy as np
X = np.array([[1, 2], [3, 4], [5, 6], [7, 8]])
y = np.array([1, 2, 1, 2])
rs = ShuffleSplit(n_splits=3, test_size=.25, random_state=0)
rs.get_n_splits(X)
print(rs)
ShuffleSplit(n_splits=3, random_state=0, test_size=0.25, train_size=None)
for train_index, test_index in rs.split(X):
print("TRAIN:", train_index, "TEST:", test_index)
rs = ShuffleSplit(n_splits=3, train_size=0.5, test_size=.25,
random_state=0)
for train_index, test_index in rs.split(X):
print("# TRAIN:", train_index, "TEST:", test_index)